PSO and ACO in optimization problems

  • Authors:
  • Lenka Lhotská;Martin Macaš;Miroslav Burša

  • Affiliations:
  • Gerstner Laboratory, Czech Technical University in Prague, Prague, Czech Republic;Gerstner Laboratory, Czech Technical University in Prague, Prague, Czech Republic;Gerstner Laboratory, Czech Technical University in Prague, Prague, Czech Republic

  • Venue:
  • IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
  • Year:
  • 2006

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Abstract

Biological processes and methods have been influencing science and technology for many decades. The ideas of feedback and control processes Norbert Wiener used in his cybernetics were based on observation of these phenomena in biological systems. Artificial intelligence and intelligent systems have been fundamentally interested in the phenomenology of living systems, namely perception, decision-making, action, and learning. Natural systems exhibit many properties that form fundamentals for a number of nature inspired applications – dynamics, flexibility, robustness, self-organisation, simplicity of basic elements, and decentralization. This paper reviews examples of nature inspired software applications focused on optimization problems, mostly drawing inspiration from collective behaviour of social colonies.